Arguments

x, q

the vector of quantiles, a matrix with "dim" columns.

n

the number of desired observations.

dim

the dimension, by default the bivariate case is considered
where dim=2

mu, Omega, alpha, df

mu is a numeric vector of length "dim" representing
the location parameter of the distribution,
Omega is a symmetric positive-definite matrix of dimension
"d" timesd "d",
alpha is a numeric vector which regulates the
the slant of the density,
df a positive value representing the degrees of freedom.

method

selects the type of distribution function, either "snorm"
which is the default, or "st".

fixed.df

set to a positive value to keep fixed the parameter nu
of the skew student-t distribution in the optimization process;
with default value NULL, i.e. nu is estimated like the
other parameters.

title

an optional project title.

description

an option project desctiption.

trace

a logical, should the estimation be traced?

...

arguments passed to the underlying "sn" density functions.

Details

The former implementations have been replaced by wrpper functions
calling functions from the package "sn".